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Xingchen Wang
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2020 – today
- 2024
- [j7]Xingchen Wang, Peng Li:
A Secure Face Verification Scheme Based on Fully Homomorphic Encryption with Anonymity. Inf. 15(3): 129 (2024) - [j6]Xiongpeng He, Kun Liu, Tong Gu, Guisheng Liao, Shengqi Zhu, Jingwei Xu, Yue Yu, Hai Huang, Xingchen Wang, Yingjie Gao, Haining Tan, Jibing Qiu:
Ground Moving Target Detection With Adaptive Data Reconstruction and Improved Pseudo-Skeleton Decomposition. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [i5]Beichen Shao, Yan Ding, Xingchen Wang, Xuefeng Xie, Fuqiang Gu, Jun Luo, Chao Chen:
MoMa-Pos: Where Should Mobile Manipulators Stand in Cluttered Environment Before Task Execution? CoRR abs/2403.19940 (2024) - [i4]Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Jing Gao:
On the Client Preference of LLM Fine-tuning in Federated Learning. CoRR abs/2407.03038 (2024) - [i3]Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao:
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction. CoRR abs/2407.19389 (2024) - 2023
- [c9]Xingchen Wang, Yan Ding, Beichen Shao, Fei Meng, Chao Chen:
Embodied Visual Navigation for Grasping. ICCIP 2023: 194-198 - 2022
- [j5]Ailing Xiao, Xingchen Wang, Sheng Wu, Chunxiao Jiang, Li Ma:
Mobility-Aware Resource Management for Integrated Satellite-Maritime Mobile Networks. IEEE Netw. 36(1): 121-127 (2022) - [j4]Xingchen Wang, Chengwu Liao, Chao Chen, Jie Ma, Huayan Pu:
O2D: An uncooperative taxi-passenger's destination predication system via deep neural networks. Peer-to-Peer Netw. Appl. 15(2): 870-883 (2022) - [j3]Yutong Jia, Lei Liu, Xingchen Wang, Ningbo Guo, Gang Wan:
Selection of Lunar South Pole Landing Site Based on Constructing and Analyzing Fuzzy Cognitive Maps. Remote. Sens. 14(19): 4863 (2022) - [j2]Chao Chen, Qiang Liu, Xingchen Wang, Chengwu Liao, Daqing Zhang:
semi-Traj2Graph Identifying Fine-Grained Driving Style With GPS Trajectory Data via Multi-Task Learning. IEEE Trans. Big Data 8(6): 1550-1565 (2022) - 2020
- [j1]Xingchen Wang, Shengtai Ju, Xiwen Zhang, Sharan Ramjee, Aly El Gamal:
Efficient Training of Deep Classifiers for Wireless Source Identification Using Test SNR Estimates. IEEE Wirel. Commun. Lett. 9(8): 1314-1318 (2020)
2010 – 2019
- 2019
- [i2]Xingchen Wang, Shengtai Ju, Xiwen Zhang, Sharan Ramjee, Aly El Gamal:
Efficient Training of Deep Classifiers for Wireless Source Identification using Test SNR Estimates. CoRR abs/1912.11896 (2019) - 2018
- [c8]Xingchen Wang, Yunlei Zhao:
Order-Revealing Encryption: File-Injection Attack and Forward Security. ESORICS (2) 2018: 101-121 - 2017
- [b1]Xingchen Wang:
Machine Learning for Gait Classification (Maschinelles Lernen für Gang-Klassifikation). Bremen University, Germany, 2017 - [c7]Shuo Jiang, Xingchen Wang, Maria Kyrarini, Axel Gräser:
A robust algorithm for gait cycle segmentation. EUSIPCO 2017: 31-35 - [c6]Maria Kyrarini, Sameer Naeem, Xingchen Wang, Axel Gräser:
Skill robot library: Intelligent path planning framework for object manipulation. EUSIPCO 2017: 2398-2402 - [c5]Xingchen Wang, Danijela Ristic-Durrant, Matthias Spranger, Axel Gräser:
Gait assessment system based on novel gait variability measures. ICORR 2017: 467-472 - [i1]Xingchen Wang, Yunlei Zhao:
File-injection Attack and Forward Security for Order-revealing Encryption. IACR Cryptol. ePrint Arch. 2017: 1086 (2017) - 2016
- [c4]Ge Gao, Maria Kyrarini, Mohammad Razavi, Xingchen Wang, Axel Gräser:
Comparison of Dynamic Vision Sensor-Based and IMU-based systems for ankle joint angle gait analysis. ICFSP 2016: 93-98 - [c3]Xingchen Wang, Maria Kyrarini, Danijela Ristic-Durrant, Matthias Spranger, Axel Gräser:
Monitoring of gait performance using dynamic time warping on IMU-sensor data. MeMeA 2016: 1-6 - 2015
- [c2]Xingchen Wang, Olena Kuzmicheva, Matthias Spranger, Axel Gräser:
Gait feature analysis of polyneuropathy patients. MeMeA 2015: 58-63 - [c1]Maria Kyrarini, Xingchen Wang, Axel Gräser:
Comparison of vision-based and sensor-based systems for joint angle gait analysis. MeMeA 2015: 375-379
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last updated on 2024-10-07 21:17 CEST by the dblp team
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